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EXPERIMENTAL EVALUATION OF MULTIPLE CRITERIA DECISION MODELS FOR APPLICATION TO WATER RESOURCES PLANNING1

 

作者: Ambrose Goicoechea,   Eugene Z. Stakhiv,   Fu Li,  

 

期刊: JAWRA Journal of the American Water Resources Association  (WILEY Available online 1992)
卷期: Volume 28, issue 1  

页码: 89-102

 

ISSN:1093-474X

 

年代: 1992

 

DOI:10.1111/j.1752-1688.1992.tb03156.x

 

出版商: Blackwell Publishing Ltd

 

关键词: multiple criteria decision making;decision support systems;water resources planning;experiments in decision making;design of computer‐based decision support systems

 

数据来源: WILEY

 

摘要:

ABSTRACT:A research project was undertaken for the U.S. Army Corps of Engineers to determine the relative utility and effectiveness of four well‐known multicriteria decision making (MCDM) models for applications in realistic water resources planning settings. A series of experiments was devised to examine the impact of rating and ranking procedures on the decision making behavior of users (e.g., planners, managers, analysts, etc.) when faced with situations involving multiple evaluation criteria and numerous alternative planning projects. The four MCDM models tested were MATS‐PC, EXPERT CHOICE, ARIADNE, and ELECTRE.Two groups of analysts and decision makers were tested. One group consisted of experienced U.S. Army Corps planners, while the other was comprised of graduate students. Based on a series of nonparametric statistical tests, the results identified EXPERT CHOICE as the preferred MCDM model by both groups based largely on ease of use and understandability. ARIADNE fostered the largest degree of agreement within and among the two groups of individuals tested. The tests also lend support to the claim that rankings are not affected significantly by the choice of decision maker (i.e., who uses any of these MCDM models) or which of these four models is u

 

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